Feng An

791 total citations
34 papers, 632 citations indexed

About

Feng An is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Feng An has authored 34 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 12 papers in Statistical and Nonlinear Physics and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Feng An's work include Complex Network Analysis Techniques (10 papers), Complex Systems and Time Series Analysis (10 papers) and Market Dynamics and Volatility (9 papers). Feng An is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Complex Systems and Time Series Analysis (10 papers) and Market Dynamics and Volatility (9 papers). Feng An collaborates with scholars based in China, United States and Germany. Feng An's co-authors include Xiangyun Gao, Haizhong An, Xiaoqing Hao, Qing Guan, Meihui Jiang, Wei Fang, Zhihua Chen, Yue Wang, Xiaoqi Sun and Shupei Huang and has published in prestigious journals such as Nature Communications, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Feng An

33 papers receiving 614 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Feng An China	14	327	117	110	99	96	34	632
Yaoqi Guo China	18	525 1.6×	166 1.4×	108 1.0×	163 1.6×	42 0.4×	42	833
Sida Feng China	13	371 1.1×	75 0.6×	82 0.7×	144 1.5×	40 0.4×	38	747
Abdullah Albaker Saudi Arabia	12	115 0.4×	65 0.6×	51 0.5×	162 1.6×	32 0.3×	49	537
Ali Khudhair Al‐Jiboory Iraq	10	101 0.3×	102 0.9×	62 0.6×	238 2.4×	14 0.1×	32	947
Dalu Zhang China	16	107 0.3×	32 0.3×	135 1.2×	73 0.7×	6 0.1×	48	849
Xiaoyi Li China	14	152 0.5×	78 0.7×	133 1.2×	119 1.2×	4 0.0×	44	639
Zhiliang Dong China	10	123 0.4×	97 0.8×	45 0.4×	27 0.3×	28 0.3×	36	334

Countries citing papers authored by Feng An

Since Specialization

Citations

This map shows the geographic impact of Feng An's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng An more than expected).

Fields of papers citing papers by Feng An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng An. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng An. The network helps show where Feng An may publish in the future.

Co-authorship network of co-authors of Feng An

This figure shows the co-authorship network connecting the top 25 collaborators of Feng An. A scholar is included among the top collaborators of Feng An based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng An. Feng An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Tao, Xiangyun Gao, Feng An, et al.. (2024). Predicting multiple observations in complex systems through low-dimensional embeddings. Nature Communications. 15(1). 2242–2242. 15 indexed citations

Wu, Tao, Feng An, Xiangyun Gao, et al.. (2023). Universal window size-dependent transition of correlations in complex systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(2). 6 indexed citations

Liu, Haibin, et al.. (2023). Research on the crisis propagation in the global coal trade under the Russia-Ukraine conflict. Scientific Reports. 13(1). 15954–15954. 6 indexed citations

Wu, Tao, Feng An, Xiangyun Gao, & Ze Wang. (2023). Hidden causality between oil prices and exchange rates. Resources Policy. 82. 103512–103512. 7 indexed citations

Wu, Tao, Xiangyun Gao, Feng An, & Jürgen Kurths. (2023). The complex dynamics of correlations within chaotic systems. Chaos Solitons & Fractals. 167. 113052–113052. 13 indexed citations

Wu, Tao, Feng An, Xiangyun Gao, Weiqiong Zhong, & Jürgen Kurths. (2023). A novel framework for direct multistep prediction in complex systems. Nonlinear Dynamics. 111(10). 9289–9304. 4 indexed citations

Wu, Tao, Xiangyun Gao, Feng An, Xin Xu, & Jürgen Kurths. (2023). Forecasting the dynamics of correlations in complex systems. Chaos Solitons & Fractals. 178. 114332–114332. 2 indexed citations

Feng, Danyang, Zhuojun Wei, Qinglin Wang, Feng An, & Hui Zhang. (2022). Controllable Synthesis of Cobalt-Containing Nanosheet Array-Like Ternary CuCoAl-LDH/rGO Hybrids To Boost the Catalytic Efficiency for 4-Nitrophenol Reduction. ACS Applied Materials & Interfaces. 14(21). 24265–24280. 34 indexed citations

Wang, Qinglin, Zhuojun Wei, Jin Li, et al.. (2022). Hierarchical-Structured Pd Nanoclusters Catalysts x-PdNCs/CoAl(O)/rGO-T by the Captopril-Capped Pd Cluster Precursor Method for the Highly Efficient 4-Nitrophenol Reduction. ACS Applied Materials & Interfaces. 14(24). 27775–27790. 25 indexed citations

10.

An, Feng, Sen Wu, Xiangyun Gao, H. Eugene Stanley, & Jianxi Gao. (2021). A quantification method of non-failure cascading spreading in a network of networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(12). 123122–123122. 4 indexed citations

11.

Liu, Siyao, Wei Fang, Xiangyun Gao, et al.. (2020). Self-similar behaviors in the crude oil market. Energy. 211. 118682–118682. 2 indexed citations

12.

Liu, Siyao, Wei Fang, Xiangyun Gao, et al.. (2019). Long-term memory dynamics of crude oil price spread in non-dollar countries under the influence of exchange rates. Energy. 182. 753–764. 11 indexed citations

13.

Jiang, Meihui, Xiangyun Gao, Qing Guan, Xiaoqing Hao, & Feng An. (2018). The structural roles of sectors and their contributions to global carbon emissions: A complex network perspective. Journal of Cleaner Production. 208. 426–435. 74 indexed citations

14.

Gao, Xiangyun, Shupei Huang, Xiaoqi Sun, Xiaoqing Hao, & Feng An. (2018). Modelling cointegration and Granger causality network to detect long-term equilibrium and diffusion paths in the financial system. Royal Society Open Science. 5(3). 172092–172092. 35 indexed citations

15.

Chen, Zhihua, Haizhong An, Feng An, Qing Guan, & Xiaoqing Hao. (2018). Structural risk evaluation of global gas trade by a network-based dynamics simulation model. Energy. 159. 457–471. 40 indexed citations

16.

Guan, Qing, Haizhong An, Nairong Liu, Feng An, & Meihui Jiang. (2017). Information Connections among Multiple Investors: Evolutionary Local Patterns Revealed by Motifs. Scientific Reports. 7(1). 14034–14034. 11 indexed citations

17.

Huang, Shupei, Haizhong An, Shaobo Wen, & Feng An. (2017). Revisiting driving factors of oil price shocks across time scales. Energy. 139. 617–629. 29 indexed citations

18.

Gao, Xiangyun, Wei Fang, Feng An, & Yue Wang. (2017). Detecting method for crude oil price fluctuation mechanism under different periodic time series. Applied Energy. 192. 201–212. 66 indexed citations

19.

An, Feng. (2005). Fuzzifying(Topological) Derived Operator Axioms. Qingdao Haiyang Daxue xuebao. 1 indexed citations

20.

Ross, Michael L., et al.. (1991). OPTIONS FOR REDUCING OIL USE BY LIGHT VEHICLES: AN ANALYSIS OF TECHNOLOGIES AND POLICY. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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